Triple

T10557743
Position Surface form Disambiguated ID Type / Status
Subject Renaud Capuçon E249132 entity
Predicate recordLabel P1500 FINISHED
Object Virgin Classics E857010 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Virgin Classics | Statement: [Renaud Capuçon, recordLabel, Virgin Classics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Virgin Classics
Context triple: [Renaud Capuçon, recordLabel, Virgin Classics]
  • A. Virgin Classics chosen
    Virgin Classics was a classical music record label known for producing high-quality recordings by prominent artists and ensembles, particularly in Baroque and early music.
  • B. Orion Classics
    Orion Classics is a specialty film division known for distributing independent and art-house movies under the Orion Pictures brand.
  • C. Onyx Classics
    Onyx Classics is an independent classical music record label known for high-quality recordings by prominent artists such as pianist Jonathan Biss.
  • D. Virgin Books
    Virgin Books is a British publishing imprint associated with Richard Branson’s Virgin Group, known for releasing a range of non-fiction, biographies, and entertainment-related titles.
  • E. Vintage Publishing
    Vintage Publishing is a prominent British publishing imprint known for its wide-ranging list of literary fiction, non-fiction, and classic titles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9347ae67081909cb2c3911cb1be67 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:35 p.m.